Role of 3D Volumetric and Perfusion Imaging for Detecting Early Changes in Pancreatic Adenocarcinoma

Syed Rahmanuddin, Ronald Korn, Derek Cridebring, Erkut Borazanci, Jordyn Brase, William Boswell, Asma Jamil, Wenli Cai, Aqsa Sabir, Pejman Motarjem, Eugene Koay, Anirban Mitra, Ajay Goel, Joyce Ho, Vincent Chung, Daniel D. Von Hoff

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Purpose: There is a major shortage of reliable early detection methods for pancreatic cancer in high-risk groups. The focus of this preliminary study was to use Time Intensity-Density Curve (TIDC) and Marley Equation analyses, in conjunction with 3D volumetric and perfusion imaging to demonstrate their potential as imaging biomarkers to assist in the early detection of Pancreatic Ductal Adenocarcinoma (PDAC). Experimental Designs: A quantitative retrospective and prospective study was done by analyzing multi-phase Computed Tomography (CT) images of 28 patients undergoing treatment at different stages of pancreatic adenocarcinoma using advanced 3D imaging software to identify the perfusion and radio density of tumors. Results: TIDC and the Marley Equation proved useful in quantifying tumor aggressiveness. Perfusion delays in the venous phase can be linked to Vascular Endothelial Growth Factor (VEGF)-related activity which represents the active part of the tumor. 3D volume analysis of the multiphase CT scan of the patient showed clear changes in arterial and venous perfusion indicating the aggressive state of the tumor. Conclusion: TIDC and 3D volumetric analysis can play a significant role in defining the response of the tumor to treatment and identifying early-stage aggressiveness.

Original languageEnglish (US)
Article number678617
JournalFrontiers in Oncology
StatePublished - Sep 8 2021


  • 3D volumetric analysis
  • CT images
  • pancreatic ductal adenocarcinoma
  • perfusion analysis
  • time intensity-density curve

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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